| BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection | Jul 28, 2023 | Anomaly DetectionCoLA | —Unverified | 0 | 0 |
| From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach | Feb 11, 2022 | Anomaly DetectionContrastive Learning | —Unverified | 0 | 0 |
| Bi-directional Curriculum Learning for Graph Anomaly Detection: Dual Focus on Homogeneity and Heterogeneity | Jan 24, 2025 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 | 0 |
| Open-Set Graph Anomaly Detection via Normal Structure Regularisation | Nov 12, 2023 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 | 0 |
| FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework | Feb 20, 2024 | Anomaly DetectionFederated Learning | —Unverified | 0 | 0 |
| UMGAD: Unsupervised Multiplex Graph Anomaly Detection | Nov 19, 2024 | Anomaly DetectionAttribute | —Unverified | 0 | 0 |
| PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities | Sep 18, 2024 | Anomaly DetectionDecoder | —Unverified | 0 | 0 |
| Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection | Nov 17, 2023 | Anomaly DetectionContrastive Learning | —Unverified | 0 | 0 |
| Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection | Dec 9, 2023 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 | 0 |
| Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective | May 23, 2025 | Anomaly DetectionContrastive Learning | —Unverified | 0 | 0 |
